Optimize the correspondence using Particle Swarm Optimization for medical image registration

@article{Ahmed2012OptimizeTC,
  title={Optimize the correspondence using Particle Swarm Optimization for medical image registration},
  author={Sara A. Ahmed and Neveen I. Ghali and Aboul Ella Hassanien},
  journal={2012 12th International Conference on Hybrid Intelligent Systems (HIS)},
  year={2012},
  pages={80-84}
}
The scope of this research is to propose a method for determining pairs of corresponding points between medical images, the method is based on the implementation of Particle Swarm Optimization (PSO) used as a function optimizer and Mutual Information used as a similarity measure. Firstly, Landmarks (LMs) were chosen manually specific to Braces Pty Ltd cephalometric analysis and used Thin Plate Spline (TPS) to provide a geometric representation for the relative locations of corresponding… CONTINUE READING